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  Published Paper Details:

  Paper Title

INTELLIGENT SALES PREDICTION USING MACHINE LEARNING

  Authors

  Taman Poojary,  Ismail Pawaskar,  Deepak Ramchandani,  Nikita Lemos

  Keywords

achine Learning, Prediction, Data Mining, Analytics, Estimation, Pattern.

  Abstract


Intelligent Decision Analytical System requires combination of decision exploration and prediction. The greater part of the business associations intensely rely upon an information base also, request expectation of deals patterns. The precision in deals figure gives a major effect in business. Pattern Analytical System and Data Mining techniques are powerful tools that helps in removing covered up information from a huge dataset to upgrade exactness and productivity of estimating. Traditional prediction frameworks are hard to manage the enormous information and exactness of sales measure. Valuable metals like diamonds and gold are sought after because of their financial prizes. In this manner, different methods are commonly utilized to estimate costs of jewels and valuable metals with the point of quick and precise outcomes. The costs vacillate day by day making it hard to predict the next future worth. Subsequently, by analyzing the example of past costs we can apply relapse models for future expectation. This paper targets forecasting the future costs of valuable metals like diamond, utilizing various machine learning techniques, intending to get the most precise consequence of all. Group models are utilized for expanding the exactness of costs.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2104639

  Paper ID - 206552

  Page Number(s) - 5385-5391

  Pubished in - Volume 9 | Issue 4 | April 2021

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Taman Poojary,  Ismail Pawaskar,  Deepak Ramchandani,  Nikita Lemos,   "INTELLIGENT SALES PREDICTION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 4, pp.5385-5391, April 2021, Available at :http://www.ijcrt.org/papers/IJCRT2104639.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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